[EN]Information dashboards1 can be leveraged to make informed decisions with the goal of improving policies, processes, and results in different contexts. However, the design process of these tools can be convoluted, given the variety
of profiles that can be involved in decision-making processes. The educative context
is one of the contexts that can benefit from the use of information dashboards,
but given the diversity of actors within this area (teachers, managers, students,
researchers, etc.), it is necessary to take into account different factors to deliver
useful and effective tools. This work describes an approach to generate information
dashboards with interactivity capabilities in different contexts through
meta-modeling. Having the possibility of specifying interaction patterns within
the generative workflow makes the personalization process more fine-grained,
allowing to match very specific requirements from the user. An example of application
within the context of Learning Analytics is presented to demonstrate the
viability of this approach
